Empathetic deep learning: transferring adult speech emotion models to children with gender-specific adaptations using neural embeddings

HIGHLIGHTS

• What: The authors investigate the relationship between adults and children for the task of automatic speech emotion recognition focusing on the critical issue of limited datasets for children`s emotions. The aim of this study is to develop and evaluate a deep learning approach that bridges adult and child speech emotion recognition, addressing the challenges posed by limited emotional speech data for children and the need for accurate cross-age emotion transfer. Only a limited number of top-used SER datasets include children`s voice recordings, which has driven the need for the research presented in this . . .
  

   

  

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